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Language:
English
Total Size:
9.7 GB
Info Hash:
38A0EA20795B306EA70E5CABA5459F3DF138916E
Added By:
Added:
July 1, 2023, 4:39 p.m.
Stats:
|
(Last updated: May 21, 2025, 2:35 a.m.)
| File | Size |
|---|---|
| 3. Reading HTML.mp4 | 103.7 MB |
| TutsNode.com.txt | 63 bytes |
| MemoryLayout.pdf | 246.3 KB |
| 1. Course Structure.srt | 1.8 KB |
| Variance.pdf | 38.0 KB |
| 2. Pandas Is Not Single.srt | 2.5 KB |
| Visualizing_Data.ipynb.zip | 500.7 KB |
| tech_giants (1).csv | 467.2 KB |
| ViewVsCopy.pdf | 53.3 KB |
| [TGx]Downloaded from torrentgalaxy.to .txt | 585 bytes |
| 0 | 90 bytes |
| 19. Is This A Valid Email.mp4 | 80.1 MB |
| tech_giants.csv | 467.2 KB |
| games_sales (1).csv | 236.9 KB |
| Vectorization.pdf | 115.3 KB |
| SplitApplyCombine.pdf | 114.8 KB |
| 9. Adding Margins.srt | 5.5 KB |
| 1. Section Intro.srt | 1.3 KB |
| games_sales (2).csv | 236.9 KB |
| games_sales.csv | 236.9 KB |
| SelectionRecap.pdf | 111.4 KB |
| WhatIsDtype.pdf | 110.9 KB |
| MultiIndexInternals.pdf | 110.7 KB |
| Working_With_DataFrames.zip | 105.5 KB |
| Handling_Time_And_Date.ipynb.zip | 104.7 KB |
| 5. The .dtype Attribute.srt | 2.5 KB |
| 8. The append() Method A Special Case Of concat().srt | 3.1 KB |
| 1 | 43 bytes |
| 21. Pandas str contains(), split() And replace() With Regex.mp4 | 76.3 MB |
| BrentOilPrices (1).csv | 78.8 KB |
| BrentOilPrices.csv | 78.8 KB |
| WhatIsASeries.pdf | 74.8 KB |
| scores (1).csv | 74.7 KB |
| 9. Skill Challenge.srt | 2.8 KB |
| scores.csv | 74.7 KB |
| SelectionTerminology.pdf | 66.7 KB |
| 3KeyConcepts.pdf | 63.0 KB |
| ConcatVsMerge.pdf | 62.7 KB |
| WhatIsCSV.pdf | 62.6 KB |
| TwosComplement.pdf | 60.5 KB |
| mid_career_salaries.csv | 22.7 KB |
| folks.json | 244 bytes |
| 2 | 129 bytes |
| 16. Introduction To Regular Expressions.mp4 | 75.0 MB |
| DataFrames_In_Depth.zip | 59.4 KB |
| DropnaWithSubset.pdf | 58.8 KB |
| 2017BostonMarathonTop1000 (1).csv | 57.5 KB |
| 2017BostonMarathonTop1000.csv | 57.5 KB |
| DroppingAndFillingNA.pdf | 56.5 KB |
| Lookup.pdf | 49.7 KB |
| AppendVsConcat.pdf | 49.4 KB |
| Transforms.pdf | 47.3 KB |
| SortValueOrIndex.pdf | 44.2 KB |
| BooleanMasks.pdf | 43.9 KB |
| InnerVsOuter.pdf | 43.7 KB |
| SeriesAtGlance.pdf | 43.0 KB |
| Diff.pdf | 42.5 KB |
| SizeAndShape.pdf | 42.3 KB |
| SeriesAccounting.pdf | 42.0 KB |
| 22. Skill Challenge.srt | 2.3 KB |
| Going_MultiDimensional.zip | 41.9 KB |
| SeqVsVectorizedOperations.pdf | 41.5 KB |
| LeftVsRight.pdf | 40.8 KB |
| 1. Section Intro.srt | 2.4 KB |
| IdxminIdxmax.pdf | 40.1 KB |
| RangeVSInt64Index.pdf | 37.8 KB |
| BoolsAsInts.pdf | 37.5 KB |
| 3. Reading HTML.srt | 16.4 KB |
| 3 | 526 bytes |
| 5. Creating Output The to_ Family Of Methods.mp4 | 74.0 MB |
| ValueCounts.pdf | 36.0 KB |
| 5. The count() Method.srt | 2.8 KB |
| JoinCardinalities.pdf | 35.3 KB |
| soccer.csv | 33.7 KB |
| OurProcess.pdf | 32.6 KB |
| Median.pdf | 32.5 KB |
| MethodsVAttribtues.pdf | 32.5 KB |
| Series_Methods_And_Handling.zip | 31.8 KB |
| AtAndIat.pdf | 30.6 KB |
| Regex_And_Text_Manipulation.ipynb.zip | 29.8 KB |
| IndexingWithCallables.pdf | 29.1 KB |
| 10. Skill Challenge.srt | 1.5 KB |
| MoreWaysToBuildDataframes.pdf | 29.1 KB |
| Comparators.pdf | 28.7 KB |
| Working_With_Multiple_DataFrames.zip | 27.4 KB |
| ViewVsCopyHowDoWeTell.pdf | 27.1 KB |
| Appendix_A_Rapid_Fire_Python_Fundamentals.ipynb.zip | 25.6 KB |
| BinaryOperators.pdf | 24.4 KB |
| Duplicates.pdf | 24.3 KB |
| 14. The describe() Method.srt | 2.5 KB |
| Data_Formats_And_I_O.ipynb.zip | 23.6 KB |
| GroupBy_And_Aggregates.ipynb.zip | 22.4 KB |
| WhatsInTheData.pdf | 19.2 KB |
| 19. Is This A Valid Email.srt | 18.6 KB |
| 5. Creating Output The to_ Family Of Methods.srt | 18.5 KB |
| ArgsVParams.pdf | 18.4 KB |
| 31. Same-shape Transforms.srt | 18.1 KB |
| 21. Pandas str contains(), split() And replace() With Regex.srt | 17.5 KB |
| 4. BONUS - Four More Ways To Build DataFrames.srt | 17.4 KB |
| Reshaping_With_Pivots.ipynb.zip | 17.1 KB |
| 32. More Flexibility With apply().srt | 16.4 KB |
| 20. Skill Challenge.srt | 1.2 KB |
| 16. Introduction To Regular Expressions.srt | 16.3 KB |
| 21. Solution.srt | 2.5 KB |
| 33. Element-wise Operations With applymap().srt | 16.0 KB |
| 22. Part I Collecting The Units.srt | 15.5 KB |
| 7. Indexing Ranges And Slices.srt | 14.9 KB |
| 23. Solution.srt | 14.8 KB |
| 28. Transforming With update(), apply() And map().srt | 14.6 KB |
| 14. Sorting vs. Reordering.srt | 14.5 KB |
| 3. The Preliminaries Of matplotlib.srt | 14.4 KB |
| 7. NumPy.srt | 14.3 KB |
| 6. BONUS - XOR and Complement Binary Ops.srt | 14.3 KB |
| 4. Jupyter Notebooks.srt | 14.0 KB |
| 25. Defining Functions.srt | 13.7 KB |
| Series_At_Glance.zip | 13.6 KB |
| 4. Line Graphs.srt | 13.6 KB |
| 27. Filtering filter(), where(), And mask().srt | 13.3 KB |
| 18. How To Approach Regex.srt | 13.3 KB |
| 21. BONUS Rolling Windows.srt | 13.2 KB |
| 11. Solution.srt | 13.1 KB |
| 30. Solution I - Reading Data.srt | 2.6 KB |
| 26. Part II Merging Units With Column Names.srt | 12.9 KB |
| 19. Identifying Dupes.srt | 12.9 KB |
| 9. BONUS Booleans Are Literally Numbers In Python.srt | 3.8 KB |
| 4 | 13 bytes |
| 4. BONUS - Four More Ways To Build DataFrames.mp4 | 73.2 MB |
| 1. Section Intro.srt | 2.3 KB |
| 21. DataFrame replace() + A Glimpse At Regex.srt | 12.9 KB |
| 20. BONUS Creating MultiLevel Columns Manually.srt | 12.7 KB |
| 14. BONUS Parsing Indicators With get_dummies().srt | 12.6 KB |
| 2. The Python datetime Module.srt | 12.5 KB |
| 17. More Regex Concepts.srt | 12.4 KB |
| 8. Scatter Plots.srt | 12.2 KB |
| 13. Containers III Sets.srt | 12.2 KB |
| 5. Binary Operators With Booleans.srt | 12.2 KB |
| 2. What Is A DataFrame.srt | 12.0 KB |
| 6. Pie Plots.srt | 12.0 KB |
| 24. DataFrame dropna().srt | 11.9 KB |
| 5. Bar Charts.srt | 11.9 KB |
| state.csv | 11.6 KB |
| 3. Parsing Dates From Text.srt | 11.6 KB |
| 4. More Approaches To Boolean Masking.srt | 11.6 KB |
| 7. Histograms.srt | 11.4 KB |
| 5. Ints And Floats.srt | 11.4 KB |
| 11. 2d Indexing.srt | 11.4 KB |
| 30. Calculating Aggregates With agg().srt | 11.4 KB |
| 40. Adding Rows To DataFrames.srt | 11.3 KB |
| 3. Variables.srt | 11.1 KB |
| 19. Upsampling And Interpolation.srt | 11.1 KB |
| regions.csv | 11.0 KB |
| 20. What About asfreq().srt | 10.9 KB |
| 27. BONUS - Methods And Axes With fillna().srt | 10.9 KB |
| 8. String Splitting And Concatenation.srt | 10.8 KB |
| 17. Controlling Flow if, else, And elif.srt | 10.8 KB |
| 6. Accessing And Counting NAs.srt | 10.8 KB |
| 38. View vs Copy.srt | 10.7 KB |
| 19. BONUS Using Callables With .loc And .iloc.srt | 10.7 KB |
| 15. Dictionary Keys And Values.srt | 10.6 KB |
| 17. Skill Challenge.srt | 1.7 KB |
| 31. BONUS - Min, Max and Idx[MinMax], And Good Foods.srt | 10.5 KB |
| 11. List Methods And Functions.srt | 10.5 KB |
| 28. Filtering in 2D.srt | 10.5 KB |
| 12. The Anatomy Of A MultiIndex Object.srt | 10.4 KB |
| 15. Fine-tuned Aggregates.srt | 10.4 KB |
| 16. One-to-One and One-to-Many Joins.srt | 10.4 KB |
| 6. Performant Datetimes With Numpy.srt | 10.3 KB |
| 2. Reading In Data With read_csv().srt | 10.3 KB |
| 7. Strings.srt | 10.2 KB |
| 6. Indexing Hierarchical DataFrames.srt | 10.2 KB |
| 17. Boolean Masks And The .loc Indexer.srt | 10.2 KB |
| 11. Solution.srt | 10.2 KB |
| 9. Other Visualization Options.srt | 10.2 KB |
| 17. More MultiIndex Methods.srt | 10.1 KB |
| 24. Solution.srt | 10.1 KB |
| 39. Adding DataFrame Columns.srt | 9.9 KB |
| 4. Reading Excel.srt | 9.8 KB |
| 24. List Comprehensions.srt | 9.8 KB |
| 9. More Split Parameters.srt | 9.8 KB |
| 12. Solution.srt | 9.8 KB |
| 12. Fancy Indexing With lookup().srt | 9.7 KB |
| 18. Solution.srt | 9.7 KB |
| 14. DataFrame Extraction by Position.srt | 9.7 KB |
| 32. Solution III - Z-scores.srt | 9.6 KB |
| folks.xlsx | 9.5 KB |
| 18. Resampling Timeseries.srt | 9.4 KB |
| 18. GroupBy Transformations.srt | 9.3 KB |
| 17. Many-to-Many Joins.srt | 9.3 KB |
| 13. Descriptive Statistics.srt | 9.2 KB |
| 14. DateTimeIndex Attribute Accessors.srt | 9.1 KB |
| 22. Series Arithmetics And fill_value().srt | 9.1 KB |
| 33. Skill Challenge.srt | 1.7 KB |
| 15. Text Replacement.srt | 9.1 KB |
| 5. Enforcing Unique Indices.srt | 9.1 KB |
| 25. BONUS - dropna() With Subset.srt | 9.0 KB |
| 35. Another Skill Challenge.srt | 2.3 KB |
| 9. BONUS - Sampling With Replacement Or Weights.srt | 8.9 KB |
| 26. Function Arguments Positional vs Keyword.srt | 8.9 KB |
| 37. The SettingWithCopy Warning.srt | 8.9 KB |
| 23. The rename() Method.srt | 8.9 KB |
| 3. Concatenating DataFrames.srt | 8.8 KB |
| 10. Solution.srt | 8.7 KB |
| 29. DataFrame Sorting.srt | 8.7 KB |
| 4. The Duplicated Index Issue.srt | 8.7 KB |
| 12. Changing The Index.srt | 8.7 KB |
| 3. String Methods In Python.srt | 8.7 KB |
| 8. Replicating Pivot Tables With GroupBy.srt | 2.9 KB |
| 5 | 18 bytes |
| 23. Solution.mp4 | 72.4 MB |
| 13. Extracting By Index Position.srt | 8.6 KB |
| 10. Lists vs. Strings.srt | 8.6 KB |
| 7. BONUS The Problem With Average Percentage.srt | 8.5 KB |
| 4. Arithmetic And Augmented Assignment Operators.srt | 8.5 KB |
| 26. Dropping And Filling DataFrame NAs.srt | 8.5 KB |
| 19. BONUS - There's Also apply().srt | 8.5 KB |
| 9. Skill Challenge.srt | 1.5 KB |
| 7. Index And RangeIndex.srt | 8.5 KB |
| 3. Pivoting Data.srt | 8.5 KB |
| 8. Methods.srt | 8.4 KB |
| 7. Combining Conditions.srt | 8.4 KB |
| 21. Solution.srt | 8.3 KB |
| 16. Shifting Dates With pd.DateOffset.srt | 8.3 KB |
| 7. Strips And Whitespace.srt | 8.3 KB |
| 25. Null Values In DataFrames.srt | 8.2 KB |
| 13. Masking With String Methods.srt | 8.2 KB |
| 15. mode() And value_counts().srt | 8.1 KB |
| 13. Extracting From DataFrames By Label.srt | 8.1 KB |
| 15. BONUS - Another Way.srt | 2.6 KB |
| 6. BONUS Introduction To Pickling.srt | 8.0 KB |
| 29. Solution.srt | 8.0 KB |
| 14. Accessing Elements By Label.srt | 7.9 KB |
| 17. Skill Challenge.srt | 1.5 KB |
| 16. Named Aggregations.srt | 7.9 KB |
| 21. While Loops.srt | 7.9 KB |
| 9. Containers I Lists.srt | 7.8 KB |
| 36. Setting DataFrame Values.srt | 7.8 KB |
| 19. The Flipside unstack().srt | 7.7 KB |
| 6. Finding Characters And Words.srt | 7.6 KB |
| 1. Installing Anaconda And Python - Windows.srt | 7.6 KB |
| 13. Sorting By Index Or Column.srt | 7.6 KB |
| 15. Removing MultiIndex Levels.srt | 7.6 KB |
| 16. MultiIndex sort_index().srt | 7.6 KB |
| 10. Solution.srt | 7.5 KB |
| 16. BONUS - The get_loc() Method.srt | 7.4 KB |
| 36. Solution.srt | 7.4 KB |
| 27. Part III Removing Units From Values.srt | 7.3 KB |
| 20. The astype() Method.srt | 7.3 KB |
| 17. BONUS Timedeltas And Absolute Time.srt | 7.2 KB |
| 28. Importing Modules.srt | 7.1 KB |
| 32. DataFrame nlargest() And nsmallest().srt | 7.1 KB |
| 43. Solution.srt | 7.1 KB |
| 18. Reshaping With stack().srt | 7.1 KB |
| 5. Cloud vs Local.srt | 7.0 KB |
| 28. Skill Challenge.srt | 1.8 KB |
| 12. Slicing Substrings.srt | 7.0 KB |
| 6. The pivot_table().srt | 7.0 KB |
| 30. Using Series between() With DataFrames.srt | 7.0 KB |
| 27. Lambdas.srt | 6.9 KB |
| 9. Cross Sections With xs().srt | 6.9 KB |
| 15. Creating Date Ranges.srt | 6.9 KB |
| 13. Adding Another Level.srt | 6.8 KB |
| 12. The merge() Method.srt | 6.8 KB |
| 4. What’s In The Data.srt | 6.8 KB |
| 19. For Loops.srt | 6.8 KB |
| 23. Solution.srt | 6.7 KB |
| 34. Skill Challenge.srt | 2.6 KB |
| 10. BONUS - How Are Random Numbers Generated.srt | 6.7 KB |
| 14. Containers IV Dictionaries.srt | 6.7 KB |
| 5. What About Aggregates.srt | 6.7 KB |
| 14. MultiIndex Grouping.srt | 6.6 KB |
| 20. Removing Duplicates.srt | 6.6 KB |
| 17. The filter() Method.srt | 6.6 KB |
| 2. Introducing (Five) New Datasets.srt | 6.6 KB |
| 4. Undoing Pivots.srt | 6.6 KB |
| 21. Selection Recap.srt | 6.5 KB |
| 34. Solution.srt | 6.5 KB |
| 7. Some Cleanup Removing The Duplicated Index.srt | 6.5 KB |
| 23. Solution.srt | 6.5 KB |
| 16. idxmax() And idxmin().srt | 6.5 KB |
| 13. Solution.srt | 6.4 KB |
| 20. The range() Immutable Sequence.srt | 6.4 KB |
| 42. Skill Challenge.srt | 2.0 KB |
| 4. Conditional Aggregates.srt | 6.4 KB |
| 9. Date Parsing And DatetimeIndex.srt | 6.4 KB |
| 14. Inner vs Outer Joins.srt | 6.3 KB |
| 1. Section Intro.srt | 1.5 KB |
| 6. Booleans And Comparison Operators.srt | 6.3 KB |
| 11. Solution.srt | 6.3 KB |
| 3. Simple Aggregations Review.srt | 6.2 KB |
| 8. Series And Index Names.srt | 6.2 KB |
| 18. Merging By Index.srt | 6.2 KB |
| 21. Solution.srt | 6.2 KB |
| 12. The head() And tail() Methods.srt | 6.2 KB |
| 4. Unique Values And Series Monotonicity.srt | 6.2 KB |
| 7. The Pandas Timestamp.srt | 6.1 KB |
| 35. Solution.srt | 6.1 KB |
| 2. Introducing New Data.srt | 6.0 KB |
| 7. Pickles In Pandas.srt | 6.0 KB |
| 14. Shuffling Levels.srt | 5.9 KB |
| 5. From Datetime To String.srt | 5.9 KB |
| 24. BONUS - A Sophisticated Alternative.srt | 5.9 KB |
| 15. Single Value Access With .at And .iat.srt | 5.8 KB |
| 9. Concat On Different Columns.srt | 5.9 KB |
| 10. Skill Challenge.srt | 2.1 KB |
| 22. Break And Continue.srt | 5.8 KB |
| 24. Cumulative Operations.srt | 5.7 KB |
| 23. Skill Challenge.srt | 1.9 KB |
| 6 | 134 bytes |
| 1. Installing Anaconda And Python - Windows.mp4 | 71.3 MB |
| 9. BONUS - Series groupby().srt | 5.7 KB |
| 7. BONUS Another Approach.srt | 5.7 KB |
| 20. Selecting With .get().srt | 5.7 KB |
| 12. Containers II Tuples.srt | 5.7 KB |
| 8. Our Dataset Brent Prices.srt | 5.7 KB |
| 17. Sorting With sort_values().srt | 5.7 KB |
| 11. Indexing Dates.srt | 5.6 KB |
| 2. Reading JSON.srt | 5.6 KB |
| 6. The groupby() Method.srt | 5.5 KB |
| 3. Creating A DataFrame.srt | 5.5 KB |
| 3. Series Sizing With .size, .shape, And len().srt | 5.4 KB |
| 2. New Data New York City SAT Scores.srt | 5.4 KB |
| 13. Handpicking Subgroups.srt | 5.4 KB |
| 6. BONUS - Creating Multiple Indices With concat().srt | 5.3 KB |
| 20. Skill Challenge.srt | 1.4 KB |
| 8. Conditions As Variables.srt | 5.3 KB |
| 7. Column Axis Concatenation.srt | 5.3 KB |
| 5. The info() Method.srt | 5.3 KB |
| 1. Section Intro.srt | 2.3 KB |
| 23. BONUS - Another Way pop().srt | 5.2 KB |
| 6. Hello, Python.srt | 5.2 KB |
| 4. Even Better dateutil.srt | 5.2 KB |
| 23. BONUS Calculating Variance And Standard Deviation.srt | 5.2 KB |
| 13. The left_on And right_on Params.srt | 5.2 KB |
| 12. Dropping And Filling NAs.srt | 5.1 KB |
| 3. Index And RangeIndex.srt | 5.1 KB |
| 5. The Split-Apply-Combine Pattern.srt | 5.1 KB |
| 41. BONUS - How Are DataFrames Stored In Memory.srt | 5.1 KB |
| 16. Membership Operators.srt | 5.0 KB |
| 11. DataFrame Axes.srt | 5.0 KB |
| 11. Solution.srt | 4.9 KB |
| 8. BONUS - Use With pd.IndexSlice!.srt | 4.9 KB |
| 5. MultiIndex From read_csv().srt | 4.8 KB |
| 8. The sample() Method.srt | 4.8 KB |
| 8. The Many Other Formats.srt | 4.8 KB |
| 2. What Is A Series.srt | 4.8 KB |
| 10. Skill Challenge.srt | 1.7 KB |
| 11. Applying Multiple Functions.srt | 4.8 KB |
| 10. Solution.srt | 4.7 KB |
| 26. Series Iteration.srt | 4.7 KB |
| 10. A Cool Shorcut read_csv() With parse_dates.srt | 4.7 KB |
| 8. Customizing Index To Group Mappings.srt | 4.6 KB |
| 4. Creating A MultiIndex.srt | 4.6 KB |
| 6. Reading In Nutrition Data.srt | 4.6 KB |
| 2. Introducing A New Dataset.srt | 4.5 KB |
| 16. Using Dot Notation.srt | 4.5 KB |
| 3. Installing Anaconda And Python - Linux.srt | 4.5 KB |
| 7. The DataFrameGroupBy Object.srt | 4.4 KB |
| 18. Truth Value Of Non-booleans.srt | 4.4 KB |
| 15. Left vs Right Joins.srt | 4.4 KB |
| 18. Solution.srt | 4.4 KB |
| 18. Extracting By Position With .iloc.srt | 4.4 KB |
| 16. 15. BONUS - Please Avoid Sorting Like This.srt | 4.3 KB |
| 23. Zipping Iterables.srt | 4.3 KB |
| 25. Pairwise Differences With diff().srt | 4.3 KB |
| 4. Vectorized String Operations In Pandas.srt | 4.3 KB |
| 3. Quick Review Indexing With Boolean Masks.srt | 4.3 KB |
| 20. BONUS What's The Point Of re.compile().srt | 4.2 KB |
| 31. Solution II - Mean, Median, And Standard Deviation.srt | 4.1 KB |
| 12. Iterating Through Groups.srt | 4.1 KB |
| drinks (1).csv | 4.1 KB |
| drinks (2).csv | 4.1 KB |
| drinks.csv | 4.1 KB |
| 19. Sorting With sort_index().srt | 4.0 KB |
| 15. BONUS The add_prefix() And add_suffix() Methods.srt | 4.0 KB |
| 22. BONUS - What About Panels.srt | 4.0 KB |
| 1. Section Intro.srt | 1.5 KB |
| 6. BONUS What Is dtype('o'), Really.srt | 4.0 KB |
| 13. Solution.srt | 3.9 KB |
| 10. BONUS Data Ink And Chartjunk.srt | 3.9 KB |
| 19. More Cleanup Going Numeric.srt | 3.9 KB |
| 2. New Data Game Sales.srt | 3.8 KB |
| 3. Anaconda.srt | 3.8 KB |
| 2. Our Data Boston Marathon Runners.srt | 3.7 KB |
| 11. Solution.srt | 3.7 KB |
| 5. Case Operations.srt | 3.6 KB |
| 10. MultiIndex Pivot Tables.srt | 3.6 KB |
| 11. Another Solution.srt | 3.6 KB |
| 2. The Art Of Data Visualization.srt | 3.6 KB |
| 22. BONUS - Removing Columns.srt | 3.5 KB |
| 9. Skill Challenge.srt | 3.5 KB |
| 21. Removing DataFrame Rows.srt | 3.4 KB |
| 3. Parameters vs Arguments.srt | 3.3 KB |
| 18. nlargest() And nsmallest().srt | 3.3 KB |
| 10. Skill Challenge.srt | 1.2 KB |
| 8. The Other Side notnull() And notna().srt | 3.2 KB |
| 21. An Easier Way transpose().srt | 3.2 KB |
| 29. Skill Challenge.srt | 3.2 KB |
| 19. The join() Method.srt | 3.2 KB |
| 1. Section Intro.srt | 3.1 KB |
| 2. Data Types.srt | 3.0 KB |
| liberal_arts.csv | 2.9 KB |
| 2. Installing Anaconda And Python - Mac.srt | 2.6 KB |
| 1. Section Intro.srt | 2.3 KB |
| 1. Section Intro.srt | 2.3 KB |
| 11. Skill Challenge.srt | 2.0 KB |
| 22. Skill Challenge.srt | 1.9 KB |
| 22. Skill Challenge.srt | 1.7 KB |
| 1. Section Intro.srt | 1.7 KB |
| 12. Skill Challenge.srt | 1.6 KB |
| 1. Section Intro.srt | 1.6 KB |
| 1. Section Intro.srt | 1.5 KB |
| eng.csv | 1.5 KB |
| 20. Skill Challenge.srt | 1.5 KB |
| portfolio.zip | 1.4 KB |
| 10. Skill Challenge.srt | 1.3 KB |
| 12. Skill Challenge.srt | 1.3 KB |
| 1. Section Intro.srt | 1.1 KB |
| ivies.csv | 548 bytes |
| 7 | 251.9 KB |
| 28. Transforming With update(), apply() And map().mp4 | 69.9 MB |
| 8 | 83.4 KB |
| 33. Element-wise Operations With applymap().mp4 | 68.5 MB |
| 9 | 503.7 KB |
| 4. More Approaches To Boolean Masking.mp4 | 68.4 MB |
| 10 | 596.8 KB |
| 31. Same-shape Transforms.mp4 | 67.0 MB |
| 11 | 18.3 KB |
| 22. Part I Collecting The Units.mp4 | 66.8 MB |
| 12 | 180.3 KB |
| 14. BONUS Parsing Indicators With get_dummies().mp4 | 66.3 MB |
| 13 | 717.6 KB |
| 14. Sorting vs. Reordering.mp4 | 65.2 MB |
| 14 | 775.1 KB |
| 17. More Regex Concepts.mp4 | 65.2 MB |
| 15 | 854.2 KB |
| 9. Other Visualization Options.mp4 | 63.6 MB |
| 16 | 363.2 KB |
| 18. How To Approach Regex.mp4 | 63.5 MB |
| 17 | 486.7 KB |
| 8. Scatter Plots.mp4 | 63.4 MB |
| 18 | 627.6 KB |
| 31. BONUS - Min, Max and Idx[MinMax], And Good Foods.mp4 | 63.0 MB |
| 19 | 17.1 KB |
| 3. The Preliminaries Of matplotlib.mp4 | 62.9 MB |
| 20 | 120.1 KB |
| 7. NumPy.mp4 | 62.2 MB |
| 21 | 826.1 KB |
| 19. Identifying Dupes.mp4 | 60.9 MB |
| 22 | 121.4 KB |
| 11. Solution.mp4 | 59.5 MB |
| 23 | 542.5 KB |
| 32. More Flexibility With apply().mp4 | 59.4 MB |
| 24 | 636.9 KB |
| 7. Indexing Ranges And Slices.mp4 | 59.1 MB |
| 25 | 915.3 KB |
| 20. BONUS Creating MultiLevel Columns Manually.mp4 | 58.7 MB |
| 26 | 281.0 KB |
| 5. Enforcing Unique Indices.mp4 | 58.4 MB |
| 27 | 625.6 KB |
| 25. Defining Functions.mp4 | 57.8 MB |
| 28 | 233.7 KB |
| 27. BONUS - Methods And Axes With fillna().mp4 | 57.4 MB |
| 29 | 634.5 KB |
| 26. Part II Merging Units With Column Names.mp4 | 57.3 MB |
| 30 | 734.6 KB |
| 16. One-to-One and One-to-Many Joins.mp4 | 57.0 MB |
| 31 | 1014.0 KB |
| 4. Reading Excel.mp4 | 55.7 MB |
| 32 | 283.1 KB |
| 17. Many-to-Many Joins.mp4 | 55.6 MB |
| 33 | 391.3 KB |
| 27. Filtering filter(), where(), And mask().mp4 | 55.1 MB |
| 34 | 970.8 KB |
| 6. Pie Plots.mp4 | 54.9 MB |
| 35 | 116.5 KB |
| 12. Solution.mp4 | 54.2 MB |
| 36 | 768.6 KB |
| 4. Line Graphs.mp4 | 54.2 MB |
| 37 | 843.7 KB |
| 13. Containers III Sets.mp4 | 53.0 MB |
| 38 | 33.1 KB |
| 3. Parsing Dates From Text.mp4 | 52.8 MB |
| 39 | 187.5 KB |
| 2. Reading In Data With read_csv().mp4 | 52.8 MB |
| 40 | 194.6 KB |
| 4. The Duplicated Index Issue.mp4 | 51.3 MB |
| 41 | 693.8 KB |
| 6. BONUS - XOR and Complement Binary Ops.mp4 | 50.5 MB |
| 42 | 538.5 KB |
| 12. Changing The Index.mp4 | 50.4 MB |
| 43 | 638.1 KB |
| 5. Bar Charts.mp4 | 50.1 MB |
| 44 | 881.9 KB |
| 40. Adding Rows To DataFrames.mp4 | 49.9 MB |
| 45 | 97.4 KB |
| 29. DataFrame Sorting.mp4 | 49.4 MB |
| 46 | 591.0 KB |
| 19. Upsampling And Interpolation.mp4 | 49.4 MB |
| 47 | 611.9 KB |
| 38. View vs Copy.mp4 | 49.3 MB |
| 48 | 712.5 KB |
| 24. Solution.mp4 | 49.2 MB |
| 49 | 840.1 KB |
| 26. Dropping And Filling DataFrame NAs.mp4 | 49.0 MB |
| 50 | 1020.3 KB |
| 32. Solution III - Z-scores.mp4 | 48.2 MB |
| 51 | 819.2 KB |
| 4. Jupyter Notebooks.mp4 | 48.0 MB |
| 52 | 1007.5 KB |
| 14. DataFrame Extraction by Position.mp4 | 46.7 MB |
| 53 | 296.5 KB |
| 8. String Splitting And Concatenation.mp4 | 46.3 MB |
| 54 | 666.2 KB |
| 12. Fancy Indexing With lookup().mp4 | 46.2 MB |
| 55 | 809.1 KB |
| 21. Solution.mp4 | 46.1 MB |
| 56 | 945.2 KB |
| 19. The Flipside unstack().mp4 | 45.9 MB |
| 57 | 55.3 KB |
| 2. What Is A DataFrame.mp4 | 45.9 MB |
| 58 | 147.3 KB |
| 10. Solution.mp4 | 45.8 MB |
| 59 | 185.9 KB |
| 7. Histograms.mp4 | 45.8 MB |
| 60 | 224.5 KB |
| 7. Combining Conditions.mp4 | 45.6 MB |
| 61 | 442.2 KB |
| 18. Solution.mp4 | 45.2 MB |
| 62 | 826.1 KB |
| 13. Sorting By Index Or Column.mp4 | 45.0 MB |
| 63 | 1001.2 KB |
| 11. Solution.mp4 | 44.8 MB |
| 64 | 203.0 KB |
| 21. DataFrame replace() + A Glimpse At Regex.mp4 | 44.3 MB |
| 65 | 738.7 KB |
| 15. Fine-tuned Aggregates.mp4 | 44.1 MB |
| 66 | 881.8 KB |
| 36. Setting DataFrame Values.mp4 | 43.6 MB |
| 67 | 459.3 KB |
| 21. BONUS Rolling Windows.mp4 | 43.5 MB |
| 68 | 521.2 KB |
| 10. BONUS - How Are Random Numbers Generated.mp4 | 42.9 MB |
| 69 | 60.1 KB |
| 5. Ints And Floats.mp4 | 42.8 MB |
| 70 | 203.6 KB |
| 29. Solution.mp4 | 42.5 MB |
| 71 | 522.8 KB |
| 28. Filtering in 2D.mp4 | 42.3 MB |
| 72 | 668.5 KB |
| 34. Solution.mp4 | 42.3 MB |
| 73 | 764.6 KB |
| 25. Null Values In DataFrames.mp4 | 42.2 MB |
| 74 | 860.4 KB |
| 3. Concatenating DataFrames.mp4 | 42.1 MB |
| 75 | 896.5 KB |
| 3. Pivoting Data.mp4 | 41.9 MB |
| 76 | 101.8 KB |
| 15. Text Replacement.mp4 | 41.8 MB |
| 77 | 225.7 KB |
| 17. Controlling Flow if, else, And elif.mp4 | 41.7 MB |
| 78 | 343.9 KB |
| 19. BONUS - There's Also apply().mp4 | 41.2 MB |
| 79 | 837.8 KB |
| 2. Introducing (Five) New Datasets.mp4 | 40.6 MB |
| 80 | 412.6 KB |
| 9. BONUS - Sampling With Replacement Or Weights.mp4 | 40.5 MB |
| 81 | 534.2 KB |
| 2. The Python datetime Module.mp4 | 40.3 MB |
| 82 | 726.5 KB |
| 22. Series Arithmetics And fill_value().mp4 | 40.2 MB |
| 83 | 821.7 KB |
| 9. More Split Parameters.mp4 | 40.1 MB |
| 84 | 939.0 KB |
| 24. DataFrame dropna().mp4 | 40.1 MB |
| 85 | 942.4 KB |
| 10. Solution.mp4 | 40.0 MB |
| 86 | 985.1 KB |
| 11. 2d Indexing.mp4 | 40.0 MB |
| 87 | 1007.0 KB |
| 37. The SettingWithCopy Warning.mp4 | 39.8 MB |
| 88 | 194.4 KB |
| 6. Indexing Hierarchical DataFrames.mp4 | 39.4 MB |
| 89 | 622.0 KB |
| 3. Variables.mp4 | 39.1 MB |
| 90 | 889.8 KB |
| 18. GroupBy Transformations.mp4 | 38.8 MB |
| 91 | 210.0 KB |
| 18. Resampling Timeseries.mp4 | 38.5 MB |
| 92 | 476.9 KB |
| 9. Concat On Different Columns.mp4 | 38.2 MB |
| 93 | 812.0 KB |
| 14. DateTimeIndex Attribute Accessors.mp4 | 38.1 MB |
| 94 | 872.8 KB |
| 18. Merging By Index.mp4 | 38.1 MB |
| 95 | 874.7 KB |
| 5. Binary Operators With Booleans.mp4 | 37.9 MB |
| 96 | 59.6 KB |
| 17. More MultiIndex Methods.mp4 | 37.9 MB |
| 97 | 82.7 KB |
| 15. Removing MultiIndex Levels.mp4 | 37.7 MB |
| 98 | 306.9 KB |
| 19. BONUS Using Callables With .loc And .iloc.mp4 | 37.1 MB |
| 99 | 881.8 KB |
| 30. Calculating Aggregates With agg().mp4 | 37.1 MB |
| 100 | 942.4 KB |
| 13. Masking With String Methods.mp4 | 36.9 MB |
| 101 | 94.5 KB |
| 36. Solution.mp4 | 36.9 MB |
| 102 | 144.5 KB |
| 6. Accessing And Counting NAs.mp4 | 36.8 MB |
| 103 | 213.6 KB |
| 13. Solution.mp4 | 36.6 MB |
| 104 | 366.1 KB |
| 20. What About asfreq().mp4 | 36.6 MB |
| 105 | 401.7 KB |
| 15. Creating Date Ranges.mp4 | 36.5 MB |
| 106 | 481.8 KB |
| 16. Named Aggregations.mp4 | 36.5 MB |
| 107 | 524.5 KB |
| 39. Adding DataFrame Columns.mp4 | 36.5 MB |
| 108 | 538.8 KB |
| 15. Dictionary Keys And Values.mp4 | 36.3 MB |
| 109 | 697.1 KB |
| 16. Shifting Dates With pd.DateOffset.mp4 | 36.2 MB |
| 110 | 799.0 KB |
| 7. BONUS The Problem With Average Percentage.mp4 | 36.2 MB |
| 111 | 864.9 KB |
| 13. Extracting From DataFrames By Label.mp4 | 36.0 MB |
| 112 | 1015.0 KB |
| 27. Part III Removing Units From Values.mp4 | 35.6 MB |
| 113 | 384.2 KB |
| 7. Some Cleanup Removing The Duplicated Index.mp4 | 35.6 MB |
| 114 | 386.2 KB |
| 16. MultiIndex sort_index().mp4 | 35.6 MB |
| 115 | 390.8 KB |
| 12. The merge() Method.mp4 | 35.4 MB |
| 116 | 630.3 KB |
| 32. DataFrame nlargest() And nsmallest().mp4 | 35.4 MB |
| 117 | 656.1 KB |
| 6. Performant Datetimes With Numpy.mp4 | 35.3 MB |
| 118 | 687.0 KB |
| 30. Using Series between() With DataFrames.mp4 | 35.0 MB |
| 119 | 35.3 KB |
| 12. The Anatomy Of A MultiIndex Object.mp4 | 34.8 MB |
| 120 | 155.4 KB |
| 5. What About Aggregates.mp4 | 34.3 MB |
| 121 | 764.6 KB |
| 28. Importing Modules.mp4 | 34.2 MB |
| 122 | 868.2 KB |
| 13. Descriptive Statistics.mp4 | 33.7 MB |
| 123 | 337.5 KB |
| 6. The pivot_table().mp4 | 33.7 MB |
| 124 | 343.4 KB |
| 13. Adding Another Level.mp4 | 33.6 MB |
| 125 | 420.0 KB |
| 24. BONUS - A Sophisticated Alternative.mp4 | 33.2 MB |
| 126 | 851.9 KB |
| 7. Index And RangeIndex.mp4 | 33.2 MB |
| 127 | 864.6 KB |
| 9. Cross Sections With xs().mp4 | 33.2 MB |
| 128 | 866.5 KB |
| 11. List Methods And Functions.mp4 | 33.0 MB |
| 129 | 14.2 KB |
| 6. Hello, Python.mp4 | 32.8 MB |
| 130 | 215.9 KB |
| 10. BONUS Data Ink And Chartjunk.mp4 | 32.3 MB |
| 131 | 678.3 KB |
| 13. The left_on And right_on Params.mp4 | 32.2 MB |
| 132 | 820.2 KB |
| 7. Strings.mp4 | 32.1 MB |
| 133 | 894.2 KB |
| 43. Solution.mp4 | 31.9 MB |
| 134 | 60.3 KB |
| 24. List Comprehensions.mp4 | 31.8 MB |
| 135 | 225.2 KB |
| 15. mode() And value_counts().mp4 | 31.7 MB |
| 136 | 271.9 KB |
| 7. Strips And Whitespace.mp4 | 31.7 MB |
| 137 | 275.6 KB |
| 6. BONUS Introduction To Pickling.mp4 | 31.7 MB |
| 138 | 296.2 KB |
| 3. Installing Anaconda And Python - Linux.mp4 | 31.0 MB |
| 139 | 48.7 KB |
| 18. Reshaping With stack().mp4 | 30.6 MB |
| 140 | 442.8 KB |
| 20. Selecting With .get().mp4 | 30.5 MB |
| 141 | 462.4 KB |
| 26. Function Arguments Positional vs Keyword.mp4 | 30.4 MB |
| 142 | 568.7 KB |
| 20. Removing Duplicates.mp4 | 29.8 MB |
| 143 | 184.9 KB |
| 9. Containers I Lists.mp4 | 29.5 MB |
| 144 | 526.3 KB |
| 17. Boolean Masks And The .loc Indexer.mp4 | 29.5 MB |
| 145 | 543.7 KB |
| 8. Our Dataset Brent Prices.mp4 | 29.4 MB |
| 146 | 587.4 KB |
| 25. BONUS - dropna() With Subset.mp4 | 29.3 MB |
| 147 | 759.3 KB |
| 21. While Loops.mp4 | 29.2 MB |
| 148 | 786.5 KB |
| 13. Extracting By Index Position.mp4 | 29.1 MB |
| 149 | 966.5 KB |
| 3. Simple Aggregations Review.mp4 | 29.0 MB |
| 150 | 1005.6 KB |
| 3. String Methods In Python.mp4 | 28.8 MB |
| 151 | 233.8 KB |
| 6. BONUS - Creating Multiple Indices With concat().mp4 | 28.5 MB |
| 152 | 561.4 KB |
| 17. BONUS Timedeltas And Absolute Time.mp4 | 28.4 MB |
| 153 | 652.0 KB |
| 21. Selection Recap.mp4 | 28.2 MB |
| 154 | 829.2 KB |
| 8. The Many Other Formats.mp4 | 27.9 MB |
| 155 | 91.0 KB |
| 4. Undoing Pivots.mp4 | 27.9 MB |
| 156 | 111.5 KB |
| 22. BONUS - What About Panels.mp4 | 27.9 MB |
| 157 | 111.9 KB |
| 5. MultiIndex From read_csv().mp4 | 27.7 MB |
| 158 | 312.2 KB |
| 11. Solution.mp4 | 27.6 MB |
| 159 | 416.3 KB |
| 23. The rename() Method.mp4 | 27.6 MB |
| 160 | 420.7 KB |
| 10. Lists vs. Strings.mp4 | 27.6 MB |
| 161 | 447.4 KB |
| 4. Arithmetic And Augmented Assignment Operators.mp4 | 27.5 MB |
| 162 | 556.5 KB |
| 6. Reading In Nutrition Data.mp4 | 27.3 MB |
| 163 | 731.0 KB |
| 14. Inner vs Outer Joins.mp4 | 27.1 MB |
| 164 | 908.5 KB |
| 7. Column Axis Concatenation.mp4 | 27.1 MB |
| 165 | 928.2 KB |
| 14. Accessing Elements By Label.mp4 | 27.1 MB |
| 166 | 960.0 KB |
| 3. Index And RangeIndex.mp4 | 26.9 MB |
| 167 | 133.2 KB |
| 2. New Data New York City SAT Scores.mp4 | 26.8 MB |
| 168 | 239.1 KB |
| 11. Indexing Dates.mp4 | 26.6 MB |
| 169 | 378.4 KB |
| 14. MultiIndex Grouping.mp4 | 26.5 MB |
| 170 | 468.1 KB |
| 5. Cloud vs Local.mp4 | 26.5 MB |
| 171 | 481.8 KB |
| 35. Solution.mp4 | 26.5 MB |
| 172 | 546.7 KB |
| 1. Section Intro.mp4 | 26.4 MB |
| 173 | 590.1 KB |
| 15. Single Value Access With .at And .iat.mp4 | 26.3 MB |
| 174 | 677.2 KB |
| 17. The filter() Method.mp4 | 26.1 MB |
| 175 | 902.5 KB |
| 18. Solution.mp4 | 25.8 MB |
| 176 | 244.9 KB |
| 6. Finding Characters And Words.mp4 | 25.7 MB |
| 177 | 275.6 KB |
| 8. Methods.mp4 | 25.3 MB |
| 178 | 688.8 KB |
| 20. The astype() Method.mp4 | 25.2 MB |
| 179 | 846.1 KB |
| 16. BONUS - The get_loc() Method.mp4 | 25.1 MB |
| 180 | 955.8 KB |
| 9. Adding Margins.mp4 | 24.6 MB |
| 181 | 423.4 KB |
| 9. Date Parsing And DatetimeIndex.mp4 | 24.5 MB |
| 182 | 483.2 KB |
| 21. Solution.mp4 | 24.5 MB |
| 183 | 500.7 KB |
| 4. Conditional Aggregates.mp4 | 24.5 MB |
| 184 | 502.0 KB |
| 14. Shuffling Levels.mp4 | 24.3 MB |
| 185 | 697.7 KB |
| 12. Slicing Substrings.mp4 | 24.2 MB |
| 186 | 831.4 KB |
| 7. The Pandas Timestamp.mp4 | 24.0 MB |
| 187 | 978.6 KB |
| 4. Even Better dateutil.mp4 | 23.9 MB |
| 188 | 152.3 KB |
| 1. Section Intro.mp4 | 23.8 MB |
| 189 | 176.6 KB |
| 20. The range() Immutable Sequence.mp4 | 23.7 MB |
| 190 | 288.6 KB |
| 13. Handpicking Subgroups.mp4 | 23.6 MB |
| 191 | 361.4 KB |
| 2. Our Data Boston Marathon Runners.mp4 | 23.6 MB |
| 192 | 435.4 KB |
| 23. Solution.mp4 | 23.4 MB |
| 193 | 620.7 KB |
| 3. Quick Review Indexing With Boolean Masks.mp4 | 23.3 MB |
| 194 | 688.3 KB |
| 11. DataFrame Axes.mp4 | 23.3 MB |
| 195 | 709.2 KB |
| 3. Series Sizing With .size, .shape, And len().mp4 | 23.3 MB |
| 196 | 760.4 KB |
| 27. Lambdas.mp4 | 23.2 MB |
| 197 | 806.4 KB |
| 12. The head() And tail() Methods.mp4 | 23.0 MB |
| 198 | 22.6 KB |
| 7. Pickles In Pandas.mp4 | 22.9 MB |
| 199 | 72.1 KB |
| 23. Solution.mp4 | 22.9 MB |
| 200 | 105.8 KB |
| 10. Solution.mp4 | 22.9 MB |
| 201 | 107.0 KB |
| 19. The join() Method.mp4 | 22.9 MB |
| 202 | 129.6 KB |
| 14. Containers IV Dictionaries.mp4 | 22.7 MB |
| 203 | 271.2 KB |
| 8. The sample() Method.mp4 | 22.6 MB |
| 204 | 403.0 KB |
| 5. The Split-Apply-Combine Pattern.mp4 | 22.5 MB |
| 205 | 499.7 KB |
| 3. Creating A DataFrame.mp4 | 22.4 MB |
| 206 | 593.5 KB |
| 5. From Datetime To String.mp4 | 22.4 MB |
| 207 | 648.5 KB |
| 1. Section Intro.mp4 | 22.3 MB |
| 208 | 688.6 KB |
| 2. Introducing New Data.mp4 | 22.1 MB |
| 209 | 915.5 KB |
| 16. idxmax() And idxmin().mp4 | 22.0 MB |
| 210 | 1023.8 KB |
| 11. Solution.mp4 | 22.0 MB |
| 211 | 31.4 KB |
| 6. Booleans And Comparison Operators.mp4 | 21.9 MB |
| 212 | 126.6 KB |
| 41. BONUS - How Are DataFrames Stored In Memory.mp4 | 21.7 MB |
| 213 | 277.1 KB |
| 6. The groupby() Method.mp4 | 21.6 MB |
| 214 | 450.9 KB |
| 12. Dropping And Filling NAs.mp4 | 21.5 MB |
| 215 | 493.2 KB |
| 7. BONUS Another Approach.mp4 | 21.3 MB |
| 216 | 689.7 KB |
| 1. Section Intro.mp4 | 21.1 MB |
| 217 | 894.0 KB |
| 12. Iterating Through Groups.mp4 | 21.0 MB |
| 218 | 989.5 KB |
| 9. BONUS - Series groupby().mp4 | 20.8 MB |
| 219 | 206.0 KB |
| 3. Anaconda.mp4 | 20.7 MB |
| 220 | 299.5 KB |
| 19. For Loops.mp4 | 20.6 MB |
| 221 | 437.7 KB |
| 8. Customizing Index To Group Mappings.mp4 | 20.5 MB |
| 222 | 535.3 KB |
| 31. Solution II - Mean, Median, And Standard Deviation.mp4 | 20.5 MB |
| 223 | 537.8 KB |
| 4. What’s In The Data.mp4 | 20.4 MB |
| 224 | 603.5 KB |
| 15. Left vs Right Joins.mp4 | 20.3 MB |
| 225 | 750.3 KB |
| 4. Creating A MultiIndex.mp4 | 20.1 MB |
| 226 | 874.7 KB |
| 12. Containers II Tuples.mp4 | 20.0 MB |
| 227 | 992.8 KB |
| 8. Conditions As Variables.mp4 | 19.9 MB |
| 228 | 105.7 KB |
| 7. The DataFrameGroupBy Object.mp4 | 19.8 MB |
| 229 | 191.6 KB |
| 21. Removing DataFrame Rows.mp4 | 19.8 MB |
| 230 | 222.4 KB |
| 2. Reading JSON.mp4 | 19.7 MB |
| 231 | 265.6 KB |
| 17. Sorting With sort_values().mp4 | 19.6 MB |
| 232 | 374.4 KB |
| 16. Membership Operators.mp4 | 19.3 MB |
| 233 | 741.5 KB |
| 22. Break And Continue.mp4 | 19.1 MB |
| 234 | 881.9 KB |
| 8. Series And Index Names.mp4 | 19.1 MB |
| 235 | 899.7 KB |
| 23. BONUS - Another Way pop().mp4 | 19.1 MB |
| 236 | 956.7 KB |
| 10. MultiIndex Pivot Tables.mp4 | 19.0 MB |
| 237 | 973.9 KB |
| 5. The info() Method.mp4 | 19.0 MB |
| 238 | 983.8 KB |
| 19. More Cleanup Going Numeric.mp4 | 18.6 MB |
| 239 | 383.1 KB |
| 21. An Easier Way transpose().mp4 | 18.6 MB |
| 240 | 414.0 KB |
| 4. Vectorized String Operations In Pandas.mp4 | 18.4 MB |
| 241 | 579.3 KB |
| 11. Applying Multiple Functions.mp4 | 18.3 MB |
| 242 | 685.2 KB |
| 20. BONUS What's The Point Of re.compile().mp4 | 18.3 MB |
| 243 | 710.6 KB |
| 2. Introducing A New Dataset.mp4 | 18.3 MB |
| 244 | 717.6 KB |
| 24. Cumulative Operations.mp4 | 17.9 MB |
| 245 | 56.7 KB |
| 2. Pandas Is Not Single.mp4 | 17.8 MB |
| 246 | 199.4 KB |
| 4. Unique Values And Series Monotonicity.mp4 | 17.8 MB |
| 247 | 208.4 KB |
| 10. A Cool Shorcut read_csv() With parse_dates.mp4 | 17.6 MB |
| 248 | 395.7 KB |
| 23. BONUS Calculating Variance And Standard Deviation.mp4 | 17.4 MB |
| 249 | 651.1 KB |
| 23. Zipping Iterables.mp4 | 17.2 MB |
| 250 | 833.9 KB |
| 2. Installing Anaconda And Python - Mac.mp4 | 17.1 MB |
| 251 | 877.0 KB |
| 13. Solution.mp4 | 17.1 MB |
| 252 | 916.9 KB |
| 1. Section Intro.mp4 | 17.1 MB |
| 253 | 926.7 KB |
| 16. 15. BONUS - Please Avoid Sorting Like This.mp4 | 17.1 MB |
| 254 | 947.8 KB |
| 8. BONUS - Use With pd.IndexSlice!.mp4 | 17.0 MB |
| 255 | 33.4 KB |
| 1. Section Intro.mp4 | 16.7 MB |
| 256 | 325.1 KB |
| 15. BONUS The add_prefix() And add_suffix() Methods.mp4 | 16.5 MB |
| 257 | 526.2 KB |
| 22. BONUS - Removing Columns.mp4 | 16.2 MB |
| 258 | 828.4 KB |
| 26. Series Iteration.mp4 | 16.1 MB |
| 259 | 950.2 KB |
| 18. Truth Value Of Non-booleans.mp4 | 15.9 MB |
| 260 | 79.8 KB |
| 19. Sorting With sort_index().mp4 | 15.3 MB |
| 261 | 714.6 KB |
| 2. New Data Game Sales.mp4 | 14.9 MB |
| 262 | 108.4 KB |
| 30. Solution I - Reading Data.mp4 | 14.6 MB |
| 263 | 458.0 KB |
| 8. The append() Method A Special Case Of concat().mp4 | 14.5 MB |
| 264 | 527.6 KB |
| 1. Course Structure.mp4 | 14.1 MB |
| 265 | 964.3 KB |
| 5. Case Operations.mp4 | 14.0 MB |
| 266 | 995.9 KB |
| 11. Solution.mp4 | 13.4 MB |
| 267 | 567.3 KB |
| 16. Using Dot Notation.mp4 | 13.2 MB |
| 268 | 768.6 KB |
| 2. The Art Of Data Visualization.mp4 | 13.0 MB |
| 269 | 1008.7 KB |
| 15. BONUS - Another Way.mp4 | 12.9 MB |
| 270 | 55.1 KB |
| 1. Section Intro.mp4 | 12.9 MB |
| 271 | 68.2 KB |
| 25. Pairwise Differences With diff().mp4 | 12.8 MB |
| 272 | 216.6 KB |
| 2. What Is A Series.mp4 | 12.5 MB |
| 273 | 472.2 KB |
| 8. Replicating Pivot Tables With GroupBy.mp4 | 12.5 MB |
| 274 | 507.7 KB |
| 18. nlargest() And nsmallest().mp4 | 12.2 MB |
| 275 | 853.7 KB |
| 9. Skill Challenge.mp4 | 11.7 MB |
| 276 | 302.0 KB |
| 9. BONUS Booleans Are Literally Numbers In Python.mp4 | 11.6 MB |
| 277 | 390.4 KB |
| 18. Extracting By Position With .iloc.mp4 | 11.6 MB |
| 278 | 395.1 KB |
| 11. Another Solution.mp4 | 11.2 MB |
| 279 | 779.1 KB |
| 8. The Other Side notnull() And notna().mp4 | 11.0 MB |
| 280 | 985.5 KB |
| 1. Section Intro.mp4 | 10.8 MB |
| 281 | 193.9 KB |
| 1. Section Intro.mp4 | 10.3 MB |
| 282 | 689.8 KB |
| 29. Skill Challenge.mp4 | 10.2 MB |
| 283 | 822.1 KB |
| 2. Data Types.mp4 | 10.2 MB |
| 284 | 861.6 KB |
| 6. BONUS What Is dtype('o'), Really.mp4 | 10.1 MB |
| 285 | 922.4 KB |
| 21. Solution.mp4 | 9.9 MB |
| 286 | 92.7 KB |
| 14. The describe() Method.mp4 | 9.7 MB |
| 287 | 303.4 KB |
| 1. Section Intro.mp4 | 8.9 MB |
| 288 | 119.9 KB |
| 34. Skill Challenge.mp4 | 8.8 MB |
| 289 | 249.0 KB |
| 3. Parameters vs Arguments.mp4 | 8.1 MB |
| 290 | 948.4 KB |
| 23. Skill Challenge.mp4 | 8.0 MB |
| 291 | 1017.4 KB |
| 1. Section Intro.mp4 | 8.0 MB |
| 292 | 50.2 KB |
| 9. Skill Challenge.mp4 | 7.7 MB |
| 293 | 292.9 KB |
| 11. Skill Challenge.mp4 | 7.5 MB |
| 294 | 491.0 KB |
| 1. Section Intro.mp4 | 6.9 MB |
| 295 | 72.2 KB |
| 35. Another Skill Challenge.mp4 | 6.8 MB |
| 296 | 210.5 KB |
| 22. Skill Challenge.mp4 | 6.4 MB |
| 297 | 635.9 KB |
| 5. The .dtype Attribute.mp4 | 6.4 MB |
| 298 | 647.2 KB |
| 5. The count() Method.mp4 | 6.0 MB |
| 299 | 990.6 KB |
| 10. Skill Challenge.mp4 | 6.0 MB |
| 300 | 11.7 KB |
| 12. Skill Challenge.mp4 | 5.5 MB |
| 301 | 533.4 KB |
| 22. Skill Challenge.mp4 | 5.4 MB |
| 302 | 591.4 KB |
| 28. Skill Challenge.mp4 | 5.3 MB |
| 303 | 720.0 KB |
| 1. Section Intro.mp4 | 5.2 MB |
| 304 | 811.2 KB |
| 42. Skill Challenge.mp4 | 5.0 MB |
| 305 | 987.9 KB |
| 22. Skill Challenge.mp4 | 4.7 MB |
| 306 | 357.8 KB |
| 17. Skill Challenge.mp4 | 4.5 MB |
| 307 | 536.6 KB |
| nutrition.csv | 4.4 MB |
| 308 | 583.9 KB |
| 33. Skill Challenge.mp4 | 4.3 MB |
| 309 | 710.9 KB |
| 17. Skill Challenge.mp4 | 4.1 MB |
| 310 | 916.5 KB |
| 20. Skill Challenge.mp4 | 4.1 MB |
| 311 | 969.0 KB |
| 10. Skill Challenge.mp4 | 4.0 MB |
| 312 | 977.2 KB |
| 9. Skill Challenge.mp4 | 4.0 MB |
| 313 | 38.7 KB |
| 20. Skill Challenge.mp4 | 3.8 MB |
| 314 | 192.3 KB |
| 12. Skill Challenge.mp4 | 3.8 MB |
| 315 | 215.9 KB |
| 10. Skill Challenge.mp4 | 3.8 MB |
| 316 | 222.9 KB |
| 10. Skill Challenge.mp4 | 3.2 MB |
| 317 | 788.7 KB |
| 10. Skill Challenge.mp4 | 3.2 MB |
| 318 | 799.5 KB |
| 20. Skill Challenge.mp4 | 3.2 MB |
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| Uploaded by FreeCourseWeb | Size 183.1 MB | Health [ 0 /3 ] | Added 2024-04-08 |
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NOTE
SOURCE: The Ultimate Pandas Bootcamp Advanced Python Data Analysis
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COVER
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